Pyomo README

Pyomo is a Python-based open-source software package that supports a diverse set of optimization capabilities for formulating and analyzing optimization models.

Modeling optimization applications is a core capability of Pyomo. Pyomo can be used to define symbolic problems, create concrete problem instances, and solve these instances with standard solvers. Thus, Pyomo provides a capability that is commonly associated with algebraic modeling languages such as AMPL, AIMMS, and GAMS, but Pyomo’s modeling objects are embedded within a full-featured high-level programming language with a rich set of supporting libraries. Pyomo supports a wide range of problem types, including:

• Linear programming

• Quadratic programming

• Nonlinear programming

• Mixed-integer linear programming

• Mixed-integer quadratic programming

• Mixed-integer nonlinear programming

• Mixed-integer stochastic programming

• Generalized disjunctive programming

• Differential algebraic equations

• Bilevel programming

• Mathematical programming with equilibrium constraints

Pyomo supports analysis and scripting within a full-featured programming language. Further, Pyomo has also proven an effective framework for developing high-level optimization and analysis tools. For example, the PySP package provides generic solvers for stochastic programming. PySP leverages the fact that Pyomo’s modeling objects are embedded within a full-featured high-level programming language, which allows for transparent parallelization of subproblems using Python parallel communication libraries.

Pyomo was formerly released as the Coopr software library.